Support the development and maintenance of data pipelines and ETL processes.
Assist in implementing data transformations and quality checks.
Work with Python to process, validate, and manipulate datasets.
Collaborate with Data Engineers, Data Scientists, and ML Engineers to ensure data availability and reliability.
Contribute to monitoring and improving data workflows under the guidance of senior team members.
Learn and work with modern data stack tools (data warehouse, orchestration, streaming, etc.).

Requirements

Currently studying or recently graduated (Bachelor’s or Master’s) in Computer Science, Information Systems, Software Engineering, or a related field.
Solid foundational knowledge of Python.
Strong interest in Data Engineering, data infrastructure, and AI systems.
Analytical mindset and willingness to learn in a fast-paced environment.
Advanced level of English (spoken and written).
Proactive, hands-on attitude and strong problem-solving skills.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonETL processesdata transformationsdata quality checksdata pipelinesdata workflowsdata validationdata manipulationdata infrastructureAI systems

Soft Skills

analytical mindsetwillingness to learnproactive attitudeproblem-solving skillscollaborationcommunicationadaptabilityteamworkattention to detailinitiative